Contracts
Negotiate without exposure
Drafts, redlines and terms stay in your environment — not in a third party’s training pipeline.
Scero — Sovereign AI · Private language models for business
Zero Trust.
Stop giving the frontier models all of your data.
Scero is a secure language model for your business — deployed inside your boundary, under your control, so your team gets the power of AI without handing your company to someone else’s.
Get in touch
No prompts out. No training on your data. No exceptions.
01
Never trains on your data
02
Runs in your cloud or on your infrastructure
03
Access controls, audit logs & redaction built in
01 /Sovereign AI
Every day, your team pastes your most sensitive work into models you don’t control.
Scero changes who holds the keys — a capable language model that answers to you, and only you.
Get in touch
Tell us what you need to protect. We’ll show you where it can run.
Your prompts stay yours
Your files stay inside
Your outputs stay private
Zero trust, by design — inside the boundary. Nothing trains. Nothing leaves.
02 /Your IP
Your prompts are your IP
Every contract, codebase, customer record and strategy doc your team pastes into a frontier model leaves your control. Once it’s sent, you can’t audit where it went, who can see it, or whether it shapes someone else’s model. Scero keeps prompts, files and outputs inside your boundary — and never trains on your data.
Sealed by default — your IP stays behind the wall
Codebase
Build without leaking the product
Proprietary code and internal systems can be queried and explained without leaving your walls.
Customers
Use real records, safely
Customer data can inform answers with redaction and access controls applied before the model ever sees it.
Strategy
Think out loud, privately
Plans, pricing and board material remain exactly what they are: yours, and no one else’s.
Get in touch
Your cloud. Your infrastructure. You set the address.
03 /Deployment
Your cloud. Your infrastructure. You set the address.
A model that runs where you say it runs
Private deployment in your cloud or on your infrastructure — not on a roadmap, and not at someone else’s discretion. Scero is implemented for your business with access controls, audit logs and redaction from day one, so you get a capable language model without handing your data to frontier models.
Placement
Your cloud or your hardware
Deployed in your VPC, your cloud account, or on infrastructure you own. You choose the jurisdiction and the address.
Control
Who can ask, and what they can ask
Role-based access, per-team permissions and redaction rules for sensitive fields before anything reaches the model.
Proof
Every request, on the record
Full audit logs of prompts, users and outputs — the evidence your security and compliance teams actually ask for.
04 /The difference
What leaves. What stays.
With a frontier model
Your data travels
Your data travels to infrastructure you don’t own, under terms you don’t set.
- Prompts and files leave your boundary
- Retention and training terms set by the provider
- Limited visibility into who accessed what
- Your roadmap, records and IP in someone else’s system
With Scero
The model comes to your data
The model comes to your data — inside a boundary you define and can prove.
- Prompts, files and outputs stay inside your boundary
- Never trains on your data
- Access controls, redaction and full audit logs
- Runs where you say it runs — your cloud, your infrastructure
Get in touch
Bring the questions your security team will ask. That’s the conversation Scero is built for.
05 /Zero trust principles
Trust is not a setting. It’s an architecture.
— 01
Assume nothing is trusted
Every user, every request and every integration is verified. No implicit access because someone is “inside” — inside is a boundary you enforce, not a feeling.
— 02
Your data is not the product
Scero never trains on your prompts, files or outputs. Your information improves your business — it does not improve a frontier model for everyone else.
— 03
Prove it, don’t promise it
Audit logs, access records and redaction rules you can inspect. If your compliance team can’t verify it, it isn’t zero trust — it’s marketing.
06 /Contact
Tell us what you’re trying to protect.
Send a note and we’ll come back with what a private, zero-trust deployment looks like for your business.
01
What you use AI for today
The tools, the workflows, and the data your team is pasting into them.
02
Where it needs to run
Your cloud, your infrastructure, or a jurisdiction your regulators require.
03
What has to be provable
Audit, retention, access and redaction requirements from your security team.